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SSTD 2025: International Symposium on Spatial and Temporal Databases

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截稿日期:
2025-04-27
通知日期:
2025-07-01
会议日期:
2025-08-25
会议地点:
Osaka, Japan
届数:
19
CCF: C   ICORE: B   QUALIS: B1   浏览: 52374   关注: 36   参加: 8

会伴指数 (CP-I)

63.4 / 100
全站第 471 名 / 共 5,647 个会议 · 前 9%

数据挖掘与数据库 第 24 / 336

学术认可 (35%)
78
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
81
社区关注 (10%)
47
资料公开度 (15%)
35

用到的输入: 收录等级：CCF C, ICORE B, QUALIS B1 · 有据可查的届次：19 · 在会伴关注它的研究者：36 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-02

征稿

SSTD 2025 (International Symposium on Spatial and Temporal Databases) is a CCF C / ICORE B / QUALIS B1 conference held in Osaka, Japan on 2025-08-25. The paper submission deadline is 2025-04-27. Acceptance notifications are sent on 2025-07-01.

Scope The 19th International Symposium on Spatial and Temporal Data (SSTD) expands its scope beyond traditional databases to embrace the broader and rapidly evolving landscape of spatial and temporal data. While previous editions focused on foundational database systems and techniques, this year’s symposium welcomes research that addresses the full spectrum of challenges and innovations in managing, analyzing, and leveraging spatial and temporal data. We invite contributions spanning data management, analytics, mining, machine learning, visualization, and real-world applications across diverse domains, reflecting the growing significance of spatial and temporal data in today’s data-driven world. This expanded scope aims to foster interdisciplinary discussions and accommodate emerging trends where spatial and temporal data intersect with cutting-edge technologies. Topics of Interest Topics of interest include, but are not limited to, the following in the context of spatial, temporal, and spatio-temporal data. Spatial Foundations Spatial and temporal data models, representations, and standards Computational geometry algorithms Theoretical frameworks and complexity analysis Spatial approximation, sampling, and compression strategies Topological, geometric, and semantic relationships Spatial Data Mining, Machine Learning, and Analytics Foundation models and LLMs for spatial data Data warehousing and decision support Pattern recognition, clustering, and outlier detection Predictive modeling and forecasting Integration of deep learning and Geo-AI techniques Recommender systems Spatial Statistical Analysis Spatial autocorrelation and regression models Spatial point process analysis Geostatistical methods Bayesian models Analysis of spatial heterogeneity Spatio-temporal statistical methods Data Management and Storage Data types and query languages Database design and conceptual modeling Storage and retrieval techniques Access methods and indexing Query processing and optimization Distributed and cloud-based architectures Stream processing and real-time indexing Moving objects applications Methods for data integration and harmonization Spatial Networks and Graphs Transportation and mobility analytics Network modeling and route optimization Graph-based techniques Sensor networks Geographic Information Retrieval (GIR) Spatially-aware search engines Geotagging and geographic text analysis Location-based information retrieval Integration of spatial and textual data Ontologies and taxonomies Semantic analysis of geographic entities Spatial-keyword search Visualization and Interaction Novel visualization techniques Human-computer interaction AR/VR environments and immersive visualizations Quality, Uncertainty, Fairness and Privacy Data quality assessment and cleaning Handling uncertainty and incomplete data Privacy-preserving methods Data bias, fairness, transparency Applications and Emerging Domains Location-based services and social networks Experiments and performance evaluation Smart cities and urban planning Public health and emergency management IoT-based sensor networks Computer vision for spatial data Crowdsourcing and user-generated content Indoor spaces and mobility Spatial quantum modeling New hardware platforms
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